Yo

YourApp – Mobile-First Developer Tool (Contributors Welcome)

Hacker News

YourApp – Mobile-First Developer Tool (Contributors Welcome)

I have recently made the repository for YourApp public. It is a mobile-first developer tool that I am building with a focus on practical workflows and usability. Development is ongoing, and I am continuing to improve the architecture and feature set as the project evolves. I would appreciate technical feedback, suggestions, and contributions from the community. If you are interested in developer tooling or mobile-first design, I would be glad to hear your thoughts. GitHub: https://github.com/Adhishtanaka/yourapp

Visit product View on Hacker NewsFeb 28, 2026

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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